Published in

De Gruyter, Frequenz, 9-10(70), 2016

DOI: 10.1515/freq-2015-0276

Links

Tools

Export citation

Search in Google Scholar

Estimation and Extraction of Radar Signal Features Using Modified B Distribution and Particle Filters

Journal article published in 2016 by Davorin Mikluc, Dimitrije Bujaković, Milenko Andrić, Slobodan Simić ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Red circle
Preprint: archiving forbidden
Red circle
Postprint: archiving forbidden
Orange circle
Published version: archiving restricted
Data provided by SHERPA/RoMEO

Abstract

AbstractThe research analyses the application of particle filters in estimating and extracting the features of radar signal time-frequency energy distribution. Time-frequency representation is calculated using modified B distribution, where the estimation process model represents one time bin. An adaptive criterion for the calculation of particle weighted coefficients whose main parameters are frequency integral squared error and estimated maximum of mean power spectral density per one time bin is proposed. The analysis of the suggested estimation application has been performed on a generated signal in the absence of any noise, and consequently on modelled and recorded real radar signals. The advantage of the suggested method is in the solution of the issue of interrupted estimations of instantaneous frequencies which appears when these estimations are determined according to maximum energy distribution, as in the case of intersecting frequency components in a multicomponent signal.